Label data, manage quality, and operate a production training data pipeline
A machine learning model is only as good as its training data. Labelbox is an end-to-end platform to create the right training data, manage the data and process all in one place, and support production pipelines with powerful APIs.
Learn About PlatformSeamless collaboration with your team, model and external labeling services
Tight collaboration between data science teams, domain experts, and external labeling services enable you to iterate quickly on new projects and then scale up as they mature to production. Labelbox integrates with a global network of dedicated labeling teams.
Learn About Workforce
Construct your machine learning pipeline with powerful APIs
Stream data into Labelbox and push labeled data into training environments. Connect your ML models to supercharge labeling productivity and orchestrate active learning. Labelbox is API-first so you can use it as infrastructure to scale up.
from graphqlclient import GraphQLClient
client = GraphQLClient('https://api.labelbox.com/graphql')
client.inject_token('Bearer <API_KEY_HERE>')
data = client.execute('
mutation {
createDataRow(
data: {
rowData: "<DATA_THAT_NEEDS_TO_BE_LABELED>",
dataset: {
connect: {
id: "<DATASET_ID_HERE>"
}
},
organization: {
connect: {
id: "<INSERT_YOUR_ORGANIZATION_ID_FROM_ABOVE_HERE>"
}
},
}
)
}
')
from graphqlclient import GraphQLClient
client = GraphQLClient('https://api.labelbox.com/graphql')
client.inject_token('Bearer <API_KEY_HERE>')
data = client.execute('
mutation {
createLabel(
data: {
label:"<INSERT_LABEL_DATA_STRING_HERE>",
secondsToLabel: 42,
dataRow: {
connect: {
id: "<INSERT_DATA_ROW_ID_HERE>"
}
},
project: {
connect: {
id: "<INSERT_PROJECT_ID_HERE>"
}
},
type: {
connect: {
name: "Any"
}
}
}) {
id
label
}}
')
from graphqlclient import GraphQLClient
client = GraphQLClient('https://api.labelbox.com/graphql')
client.inject_token('Bearer <API_KEY_HERE>')
data = client.execute('
mutation{
createPrediction(data:{
label:"<should-be-the-exact-same-as-label.label>",
predictionModelId:"<from-the-prediction-model-you-created-earlier>",
projectId:"<any-project-id>",
dataRowId:"<any-datarow-id>",
}){
id
}
}
')
from graphqlclient import GraphQLClient
client = GraphQLClient('https://api.labelbox.com/graphql')
client.inject_token('Bearer <API_KEY_HERE>')
data = client.execute('
query {
project(where:{id: "<INSERT_PROJECT_ID_HERE>"}) {
labels(first: 5){
id
label
createdBy{
id
email
}
type {
id
name
}
secondsToLabel
agreement
dataRow {
id
rowData
}
}
}
}
')
Join a growing community of teams building machine learning products
Leading research institutions, machine learning startups, and Fortune 500s alike are creating the right training data with Labelbox.
Labelbox is very well integrated as a part of our overall system design. Labelbox has helped us efficiently collect and analyze data through their strong infrastructure support. We’re able to get the labels we need for all different types of video and image analysis.
Stephen Krotosky
Manager, Applied Machine Learning
Labelbox serves all of our training data needs. The team is very responsive and have provided exceptional support.
Daniel Rechsteiner
Imaging Technology Manager, Bayer
Labelbox has become the foundation of our training data infrastructure. Our data science teams create high quality labeled training data with our internal domain experts as well as external labeling services, all inside Labelbox. And, the support is exceptional!
